Abdominal Surgery: Innovative Techniques and Challenges
A special issue of Medicina (ISSN 1648-9144). This special issue belongs to the section "Surgery".
Deadline for manuscript submissions: 25 February 2026 | Viewed by 38
Special Issue Editors
Interests: surgery; upper GI surgery; minimally invasive and laparoscopic surgery; robotic surgery; upper GI endoscopy; impedance pH-metry; esophageal cancer; hiatal hernia repair
Special Issues, Collections and Topics in MDPI journals
Interests: surgery; bariatric surgery; metabolic surgery; trauma; minimally invasive and laparoscopic surgery; surgical oncology
Special Issue Information
Dear Colleagues,
Abdominal surgery remains a cornerstone of general and specialized surgical care, encompassing a wide range of pathologies managed through elective and emergency procedures. In recent decades, the field has witnessed the steady integration of minimally invasive and robotic-assisted techniques, which have enhanced patient outcomes in terms of safety, recovery, and complication rates. Despite this progress, challenges remain in optimizing surgical decision-making, managing complex clinical cases, and standardizing care across diverse healthcare systems.
This Special Issue, entitled “Abdominal Surgery: Innovative Techniques and Challenges”, invites high-quality submissions focused on real-world improvements in surgical techniques, patient selection, perioperative management, and long-term outcomes. We welcome the submission of original research articles, clinical trials, and systematic reviews (+/− meta-analyses) that explore surgical strategies in benign and malignant disease, innovations in minimally invasive approaches, risk stratification, and postoperative complication prevention.
Particular emphasis will be placed on evidence-based practices that improve patient safety and outcomes, including enhanced recovery protocols, surgical education, and the multidisciplinary management of surgical disease. Submissions that evaluate the role of technology (e.g., intraoperative imaging or AI-supported clinical decision-making) are also welcome to be submitted, provided that they are firmly grounded in clinical utility and outcomes.
This Special Issue seeks to bring together the expertise of abdominal surgeons and multidisciplinary teams to advance the field through critical evaluation and the dissemination of clinically relevant innovations.
Dr. Tania Triantafyllou
Guest Editors
Dr. Athanasios Pantelis
Guest Editor Assistant
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Medicina is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- minimally invasive surgery
- abdominal surgery
- surgical innovation
- laparoscopy
- robotic surgery
- embedded systems
- image-guided surgery
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